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Translated:fire: This repository mainly contains introductory Spring Boot learning tutorials and some commonly used Spring Boot practical project tutorials, including various example code for using Spring Boot, as well as the source code and demos of some practical projects. The practical projects include basic web development and the online blog projects / large enterprise mall systems / front-end and back-end separation practice projects that are widely used today, freeing you from the constraints of all kinds of hello world introductory examples so you can truly master Spring Boot development.

:dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.

  • benchmark-ips
  • performance-optimization
  • ruby
  • hacktoberfest

TranslatedA security knowledge framework maintained by the ffffffff0x team, with content including but not limited to web security, industrial control security, forensics, incident response, blue team infrastructure deployment, post-exploitation, Linux security, and writeups for various vulnerable machines

  • markdown-article
  • linux-learning
  • pentest
  • study

You don't need an animation library to add a simple effect to your SwiftUI app. Create it yourself with SwiftUI. This repo inspires you to add helpful and expressive SwiftUI animations like loading/progress, looping, on-off, enter, exit, fade, spin, and background animations to your next project. The repo also contains tremendous spring animations.

Examples projects using SwiftUI released by WWDC2019. Include Layout, UI, Animations, Gestures, Draw and Data.

  • swiftui
  • swiftui-controls
  • interface
  • swiftui-animations

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

Our main goal is to share tips from some well-known bughunters. Using recon methodology, we are able to find subdomains, apis, and tokens that are already exploitable, so we can report them. We wish to influence Onelinetips and explain the commands, for the better understanding of new hunters..

🚀 Real-world DevOps projects for aspiring engineers — Beginner to Advanced. Covers AWS, Kubernetes, Docker, CI/CD, Terraform, Jenkins, and more. Hands-on learning with step-by-step guides.

  • devops
  • devops-learning
  • devops-poc
  • devops-project